Skill Graph Modeling

Skill Graph Modeling is a formal representational framework within skill inventory management that structurally organizes and relates competencies through graph-based semantics, where nodes denote specific skills and edges capture definitional, hierarchical, or inferential relationships among them.

15

Publications

539

Citations

47

Authors

26

Institutions

Publications per year

2017–2026

7

Authors

47

  1. AG
    Anna Giabelli

    University of Milano-Bicocca, Italy

    1 publications · 74 citations

    1

    h-index

  2. FS
    Farzaneh Shoeleh

    National Research Council Canada, Canada

    1 publications · 37 citations

    1

    h-index

  3. CL
    Chang Liu

    Beijing Institute of Technology, China

    1 publications · 25 citations

    1

    h-index

  4. MM
    Markus Maurer

    Technische Universität Braunschweig, Germany

    1 publications · 39 citations

    1

    h-index

  5. CW
    Ching‐Hua Wang

    National Taiwan University, Taiwan

    1 publications · 16 citations

    1

    h-index

1–5 of 47

Venues

  1. 2

    h-index

  2. Applied Soft Computing

    1 publications · 74 citations

    1

    h-index

  3. SAGE Open

    1 publications · 38 citations

    1

    h-index

  4. Pattern Recognition Letters

    1 publications · 37 citations

    1

    h-index

  5. 1

    h-index

1–5